AI-ready Healthcare
By Anirban Mukhopadhyay, Henry Krumb
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Image by Anirban Mukhopadhyay, Henry Krumb
Category: Medicine
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Episodes: 71
Description
Deep meaningful discussions for Knowledge dissemination and constructive arguments, with a shared mission about making Healthcare AI-ready.
I invite stakeholders such as clinicians, AI experts, industry personnel and regulatory personnel to talk about the translational aspects of AI research into patient care. Often we converse with my co-host Henry Krumb.
| Episode | Date |
|---|---|
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Akshay Chaudhari: LLMs for Clinical Text Summarization
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Apr 22, 2024 |
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Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready
|
Apr 15, 2024 |
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H.R. Tizhoosh: Foundation models in Histopathology
|
Apr 08, 2024 |
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S. Kevin Zhou: Building a Medical Time Machine
|
Apr 02, 2024 |
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Alexander Hann: AI for endoscopic imaging
|
Mar 26, 2024 |
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Damini Dey: Cardiology AI
|
Mar 19, 2024 |
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Enzo Ferrante: Fairness in Medical AI
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Mar 12, 2024 |
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Joe Lennerz: Berlin Declaration of Health Data Sharing
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Dec 19, 2023 |
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Neel Dey: Invariances and Covariances of Medical Imaging
|
Dec 12, 2023 |
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Maria Zuluaga: Trustworthy Medical AI
|
Dec 05, 2023 |
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Heather Couture: Oncopathology AI
|
Nov 28, 2023 |
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Pieter De Backer: AI-assisted Surgical Training
|
Nov 21, 2023 |
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Camila Gonzalez: Medical Continual Learning
|
Nov 14, 2023 |
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Shek Azizi: Google DeepMind's Foundational Medical Models
|
Nov 07, 2023 |
|
Dan Hashimoto: Making surgery AI-ready
|
Sep 04, 2023 |
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Stephen Gilbert: AIaMD regulations
|
Aug 28, 2023 |
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Nitika Pai: Global Digital Health
|
Aug 21, 2023 |
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Swapnil Rane: Indian Image BioBank
|
Aug 14, 2023 |
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Ishita Barua: Gender gap in health data
|
Aug 07, 2023 |
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Raphael Sznitman: AI-powered Eye Surgery
|
Jul 31, 2023 |
|
Nifti 50
|
Jul 24, 2023 |
|
Nikos Paragios: AI-guided Precision Radiotherapy
|
May 01, 2023 |
|
Lene Topp: Science4Policy
|
Apr 24, 2023 |
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Stefanie Speidel: Simulation in Surgical Data Science
|
Apr 17, 2023 |
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Sotirios Tsaftaris: Causal Representation Learning
|
Apr 10, 2023 |
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Pascal Wettstein: FDA or MDR? Where should SMEs go for their AI SaMD
|
Apr 04, 2023 |
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Sharib Ali: AI-powered Endoscopic Image Analysis
|
Mar 27, 2023 |
|
Jocelyne Troccaz: MICCAI impacting Prostrate Biopsy
|
Mar 21, 2023 |
|
Monir El Azzouzi: Medical Device Regulation of AI SaMD
|
Dec 27, 2022 |
|
Monika Sonu: Frugal digital health innovation
|
Dec 20, 2022 |
|
Purang Abolmaesumi: Telehealth = POCUS+AI
|
Dec 13, 2022 |
|
Joseph Kvedar: Nurturing Digital Health through Nature
|
Dec 06, 2022 |
|
Andrew Janowczyk: Quality Assurance in histopathology images
|
Nov 29, 2022 |
|
Robert MacDougall: Quantivly's digital twin of radiology operations
|
Nov 22, 2022 |
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Daniel Rückert: Federated Disentanglement
|
Nov 15, 2022 |
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Jakob Nikolas Kather: Swarm intelligence for Oncology
|
Sep 05, 2022 |
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Prateek Prasanna: Augmenting Radiologist's Knowledge into AI
|
Aug 30, 2022 |
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Sailesh Conjeti: MLOps for Healthcare AI
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Aug 23, 2022 |
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Ismini Lourentzou: Chest ImaGenome
|
Aug 15, 2022 |
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Matthias Unberath: Forgotten Humans of Explainable AI
|
Aug 09, 2022 |
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Taufique Joarder: Policy Questions of Healthcare AI
|
Aug 02, 2022 |
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Stephen Aylward: The case of Open-source software
|
Jul 26, 2022 |
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Lena Maier-Hein: What does it mean to win a Biomedical Challenge?
|
Apr 12, 2022 |
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Russ Taylor: The role of AI in Robotic Surgery
|
Apr 05, 2022 |
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Ilker Hacihaliloglu: Ultrasound for all
|
Mar 29, 2022 |
|
Frank Xu: Baidu's AI, WHO's Digital Health & other stories
|
Mar 22, 2022 |
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Lorenzo Righetto: Publishing MICCAI research into Nature Communications
|
Mar 15, 2022 |
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Karsten Ridder: Communication is key for AI-ready Healthcare
|
Mar 08, 2022 |
|
Shuo Li: Will MICCAI 2022 be virtual?
|
Mar 01, 2022 |
|
Julia Schnabel: MICCAI goes to Africa
|
Dec 07, 2021 |
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Anant Madabhushi: When MICCAI scientist meets Real Clinicians
|
Nov 30, 2021 |
|
Leo Joskowicz: Shaping up AI and MICCAI
|
Nov 23, 2021 |
|
Dan Stoyanov: Surgical Data Science 101
|
Nov 16, 2021 |
|
John Mongan: To buy or not to buy radiology AI
|
Nov 09, 2021 |
|
Qi Dou: Federated Learning for radiology
|
Nov 02, 2021 |
|
Andreas Maier: Known operator learning for medical imaging
|
Oct 26, 2021 |
|
Alex Frangi: Unlocking In-silico clinical trials
|
Sep 14, 2021 |
|
Yuri Tolkach: Silent Failures of Deep Digital Pathology
|
Sep 07, 2021 |
|
Marius Linguraru: Making babies fitter - within MICCAI and beyond
|
Aug 31, 2021 |
|
Arijit Patra: Big-Pharmas need imaging AI, and they don't know it yet!
|
Aug 24, 2021 |
|
Indranil Mallick: Why Indian healthcare needs AI post COVID? Reflections of a Radiation Oncologist
|
Aug 17, 2021 |
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Michal Rosen-Zvi: Underwhelming maturity of Radiology AI in COVID-19 imaging
|
Aug 10, 2021 |
|
Daniel Pinto dos Santos: Get your radiology report structured, have some ECLAIRS!
|
Aug 03, 2021 |
|
Terry Peters: Beware of the nasty surprises from healthcare AI
|
Jun 15, 2021 |
|
Ilkay Oksuz: AI gives a thumbs-up to Cardiac MRI
|
Jun 08, 2021 |
|
Saif Afat: Does global radiology need AI?
|
Jun 01, 2021 |
|
Andreas Bucher: Why a German Radiologist should care about AI?
|
May 25, 2021 |
|
Bernhard Dorweiler: Intelligent training of Vascular Surgeons
|
May 18, 2021 |
|
Sandy Engelhardt: Heart bits
|
May 11, 2021 |
|
Tianming Liu: Cross-talk between Neuroimaging and Neural Networks
|
May 05, 2021 |
|
Intro AI-ready Healthcare
|
Mar 31, 2021 |